TEAM 5: QGIS as a Client for DataBio/FOODIE RDF Data

Project leader: Karel Charvat charvat(at)lesprojekt.cz

Team members: Jan Vrobel, Jiri Vales, Raul Palma, Raitis Berzins, Karel Jedlicka, Vojtech Lukas, Michal Kraus, Tomas Reznik, Nicole Bartelds,
Ali Asmat, Daniel Stefl, Ghazal Ba Khadher

We are extending in the DataBio project the concept of the FOODIE data model and the FOODIE ontology.  We are translating the Czech LPIS and part of the Polish LPIS into this ontology.

As part of the DataBio work were developed apps allowing semantic search and combination of LPIS data with other sets including satellite data (yield potential).

http://app.hslayers.org/project-databio/land

For desktop farming systems we need query the DataBio RDF data from QGIS. The focus of the pilot will be to test this concept.

TEAM 4: Environmental Atlas of the Liberec Region in QGIS

Project leader: Jan Vrobel vrobel.jan(at)uhul.cz

Project team: Dimitrij Kozuch, Marek Splichal, Runar Bergheim, Raitis Berzins, Irena Koskova, Stepan Kafka, Simon Leitgeb

Today we propose to you the idea that “maps” are interesting not only as visualizations of volunteered geographical information (VGI) data capturing through semi-voluntary projects — but as shareable, fascinating and valuable VGI objects in themselves. So why do we believe that the “map” is an object that people would like to share — and why do we believe that it proves added value to peoples lives?

There currently exists hundreds of services offering spatial information through real-time interactive protocols such as WMS and WFS etc. Soon, if member states and signatories to INSPIRE do as they are legally obliged, this number will be thousands — ten thousands.

The fact that a map is a composite object referring to a lot of live data sources around the net, require the existence of a “Map Composition” standard that describes the elements that constitute a map and how they should be combined to fit together neatly.

An early effort by the OGC was the Web Map Context specification that has not evolved since 2005. This little bit ‘heavyweight’ XML-based standard is limited in scope and has not evolved with the developments in standards and technology in the 11 years that have passed since its creation.

Recently the three European Community funded projects SDI4Apps, Foodie and OTN have started the work of defining a simple, lightweight specification for Map Compositions using HTML5- and bandwidth friendly JavaScript Object Notation (JSON) as a carrier of information.

Now best example using this principles is educational Environmental Atlas of of the Liberec Region.

http://atlas.kraj-lbc.cz/mapy

The current specification of the JSON Map Composition is available on the GitHub Wiki of HSLayers NG.

For schools and educational purposes and also for different VGI task will be useful be able to display this Map composition on desktop clients. We decide developed plugin, which will support utilization of Map composition  inside of QGIS.

TEAM 3: Semantic Cleaning of the SPOI Database

Project leaders: Raul Palma rpalma(at)man.poznan.pl and Karel Panek

Team members: Otakar Čerba (University of West Bohemia)

The goal will be to use semantic technologies to identify duplicities in SPOI in case of data coming from different resources and with different attributes. Data will be compared and checked against other information sources to improve general quality of SPOI database. The proposed approach will also integrate advanced parsing technology, knowledge base with extensive model of selected natural language(s), and selected classification methods. Along with consistent fuzzy duplicates detection, the technology provides a robust foundation for dynamic categorisation and verification, i. e. against more diverse data sources and across languages.

TEAM 2: Agro-Climatic Zones – Taking a Look at the Power of Water Sources

Project leader: Pavel Hájek gorin(at)kgm.zcu.cz

Team members: Jiří Valeš, Karel Jedlička, Karl Gutbrodt

Project description: Definition of an algorithm of hydro effect to temperatures according to a size of water sources. This is a sequel of Prague INSPIRE Hack 2018 TEAM 8: Delimiting of Agro-Climatic Zones and INSPIRE Hackathon 2018 TEAM 12: Delimiting of Agro-Climatic Zones. This project is being developed as part of the EUXDAT project.

TEAM 1: GUI for Spark Traffic Modeler

Project Leader: Daniel Beran dberan(at)ntis.zcu.cz

Team members: Jan Sháněl, František Kolovský, Karel Jedlička

Project description: Interconnect the Spark Traffic Modeler with a GUI based on HS Layers (ng.hslayers.org). This is a sequel of Prague INSPIRE Hack 2018 TEAM 4: REST API from Traffic Modelling. This project is being developed within the PoliVisu project.